Download SWE 488 - Course description New

Complex Systems Engineering
CSE - SWE 488
Prof. Mohamed Batouche
[email protected]
Course information
• Instructors:
– Lectures: Prof. Mohamed Batouche (King Saud
University)
– Tutorial: Lecturer (King Saud University) – Mr.
Fettouh kellal
– Labs: RA (King Saud University) – Mr. Hanif
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Time schedule (Lectures)
8-9
9-10
10-11
11-12
13-14
14-15
15-16
16-17
Saturday
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
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Textbook
• Textbook(s):
Jay Xiong, New Software Engineering Paradigm
based on Complexity Science, Springer, 2011.
• Recommended books: see website
• Readings: see website
• Lecture slides: some of them are adapted
from existing slides …
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Recommended Books
•
Dan Braha, Ali Minai, Yaneer Bar-Yam (2010): Complex
Engineered Systems: Science Meets Technology. Springer.
•
Melanie Mitchell (2009): Complexity: A guided Tour.
Oxford University Press.
•
Claudios Gros (2011): Complex and Adaptive Dynamical
Systems. Second Edition, Springer.
•
John H. Miller and Scott E. Page (2007): Complex Adaptive Systems.
Princeton University Press.
•
Yaneer Bar-Yam (2004): Making Things Work: Solving Complex
problems in a Complex World. NECSI - Knowledge Press.
•
Thrishantha Nanayakkara, Mo Jamshidi, Ferat Sahin (2010): Intelligent
Control Systems with an Introduction to System of Systems Engineering,
CRC Press.
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Grading policies
• Final exam: (40%)
• Midterm1, Midterm 2: (40%)
• Homework, Quizzes, Projects,
Attendance: (20%)
• Final grades = Final exam * 0.4 + Midts *
0.4 + HQPA * 0.2
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Course Web
• http://faculty.ksu.edu.sa/mohamedbatouche/Pages/SwE488.aspx/
• Any news for this course.
• Hence, you need to visit it from time to time.
• Suggestions are also welcome!
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Course Description
• The course covers at least the followings:
This course represents an introduction to complex systems
and the methods and tools currently under consideration and
use towards better understanding of such systems and the
development of a complex engineered systems theory. Topics
include concepts such as emergence, self-organization,
learning and adaptation, and various quantitative and
computational intelligence techniques and algorithms that
are considered for modeling, analysis and evaluation of such
complex systems. System-of-systems concept will be also
presented. Students will be able to work on a small project in
which they have to design and implement a small part of a
complex system.
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Syllabus: a Tentative
• Introduction and definitions
• Natural complex systems
• Artificial complex systems
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Parts, Wholes and Relationships
Self-organized patterns
Networks and memory
Complexity and Scale in Organizations
Evolution
Competition and cooperation
The new software engineering paradigm (NSE)
Model driven engineering
Solving complex problems
Concluding remarks, review, and evaluation
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Specific Outcomes of Instruction (Course
Learning Outcomes):
• Understand the importance of complexity theory in
software development.
• Understand the difference between complex systems
and intricate systems.
• Understand complex systems concepts such as
emergence, self-organization, adaptation and evolution.
• Learn how to develop evolving large scale software
systems.
• Understand the new software engineering paradigm
NSE (Nonlinear Software Engineering).
• Use complexity theory to develop complex industrial
applications.
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Complex Systems Software
Tools
• NetLogo
• Matlab – NN, GA, RBN Toolboxes
• Swarm Platform
• Conway's Game of Life
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